This book covers state-of-the-art topics in the multidisciplinary areas of Artificial Intelligence (AI) and advanced conventional as well as memristor-based computing systems. It aims to explore the theoretical foundations of memristors in computing and modeling, with potential applications in and along with quantum computing and nonlinear dynamical systems, such as computing capabilities and complex dynamics of memristors, including phenomena of chaos and bifurcation.
The book presents the integration of AI with memristor systems where, in particular, AI is applied to optimal design, analysis and optimization of memristor systems. It also aims to develop intelligent systems leveraging memristors for improved performance toward future innovations in related fields.
The aim is to serve researchers, engineers and graduate students, by providing a comprehensive overview of the current advancements and future prospects of research efforts in merging AI and memristors with advanced computing technologies.
Contents:
- Introduction:
- Preface
- Introduction to the Main Topics
- Memristor Fundamentals:
- Theoretical Foundations of Memristors
- Memristor Models and Simulations
- Quantum Aspects of Memristors:
- Quantum Physics and Memristors
- Experimental Results and Applications
- Complex Behavior and Dynamics of Memristors:
- Nonlinear Dynamics of Memristors
- Chaos and Complex Memritive Systems
- AI and Memristors:
- Integrating AI and Memristor Systems
- AI-Driven Memristor Applications
- Future Research and Innovation:
- Future Directions in Memristor and AI Research
- Innovation and Practical Applications
- Conclusion:
- Summary and Future Perspectives
- Discussions and Open Questions
Readership: Graduate students, academics and researchers in the fields of computer science, artificial intelligence, electrical engineering and applied physics as well as professionals in tech innovation sectors.
Ivan Zelinka is a renowned professor at VŠB-TU Ostrava, where he works in the Department of Computer Science. His research focuses on unconventional algorithms and computation, especially evolutionary computation, artificial intelligence and complex systems. He has extensive experience in applying these methods to real-world problems in various fields, including cybersecurity and automation. He has published more than 300 scientific papers and is a recognized expert internationally. He is actively involved in research projects and collaborates with many international institutions. In addition, he is a member of the Quantum Computing Lab at the national supercomputing center IT4Innovations and leads the cybersecurity lab within the REFRESH project.
Professor Guanrong (Ron) Chen has been Chair Professor since year 2000 and the Shun Hing Education and Charity Fund Chair Professor in Engineering since 2022 at City University of Hong Kong.
Prof. Chen was elected IEEE Fellow in 1997, for his fundamental contributions to the theory and applications of chaos control and bifurcation analysis, and became Life Fellow in 2019. He was conferred Honorary Doctorates by Saint Petersburg State University of Russia in 2011 and by University of Le Havre of France in 2014. He was elected Member of the Acadamia Europaea in 2014 and Fellow of The World Academy of Sciences in 2015.
Prof. Chen's main research pursuit is in one of the focusing areas in engineering — nonlinear systems control and dynamics, as well as complex networks. He is the (co)author of more than 700 SCI journal papers and 300 conference abstracts, published since 1981, receiving near 100,000 non-self citations with h_index 147 according to Scopus, and is a Highly Cited Researcher in Engineering as well as in Mathematics according to Clarivate Web of Science. He is also the (co)author of 31 technical and edited books.